Efficient Uncertainty Quantification for the Periodic Steady State of Forced and Autonomous Circuits
This brief proposes an uncertainty quantification method for the periodic steady-state (PSS) analysis with both Gaussian and non-Gaussian variations. Our stochastic testing formulation for the PSS problem provides superior efficiency over both Monte Carlo methods and existing spectral methods. The n...
Main Authors: | Maffezzoni, Paolo, Elfadel, Ibrahim M., Zhang, Zheng, El Moselhy, Tarek Ali, Daniel, Luca |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2017
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Online Access: | http://hdl.handle.net/1721.1/108267 https://orcid.org/0000-0002-5880-3151 |
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